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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10841
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    Explanations

    references to computer science terms or people

    oai_token-act-pair · gpt-3.5-turbo

    references to computer-related subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eca
    -0.79
    ¿½
    -0.76
    abouts
    -0.75
    raints
    -0.71
    ctr
    -0.70
     Parables
    -0.70
     Hodg
    -0.68
     Krug
    -0.65
     Hollow
    -0.65
    eter
    -0.64
    POSITIVE LOGITS
    ized
    1.17
    izable
    1.00
    ization
    0.98
    isation
    0.95
    ised
    0.94
     science
    0.91
    izes
    0.91
     readable
    0.90
     programmer
    0.89
     aided
    0.87
    Activations Density 0.039%

    No Known Activations